Architectural Patterns for Integrating SAP S/4HANA With Event-Driven Azure Analytics Platforms

As enterprises modernize their core operations through SAP S/4HANA, the shift from traditional batch-based integration to cloud-native, event-driven architectures has become a strategic necessity. This paper explores the architectural patterns required to integrate SAP S/4HANA with Microsoft Azure analytics platforms, focusing on the reduction of decision latency and the implementation of zero-downtime migration frameworks. By applying Domain-Driven Design (DDD) principles and the Anti-Corruption Layer (ACL) pattern, organizations can normalize semantic gaps and prevent schema leakage into cloud services. We investigate the “Clean Core” governance model and side-by-side extensibility as foundations for long-term agility. Furthermore, we analyze high-impact innovations such as AI-augmented event streams (“Agentic ERP”) and the essential roles of observability and idempotency in high-volume transaction environments. The research provides a comparative analysis of integration paradigms and a measurable maturity model for evaluating success in the digital age.